US10797956B2 - Extending center cluster membership to additional compute resources - Google Patents

Extending center cluster membership to additional compute resources Download PDF

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US10797956B2
US10797956B2 US16/379,526 US201916379526A US10797956B2 US 10797956 B2 US10797956 B2 US 10797956B2 US 201916379526 A US201916379526 A US 201916379526A US 10797956 B2 US10797956 B2 US 10797956B2
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computing
cluster
network
software
fabric
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US20200162330A1 (en
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Ravi Kumar Vadapalli
Kousik Nandy
Daniel Khoe
Ramesh Nethi
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Cisco Technology Inc
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Cisco Technology Inc
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Assigned to CISCO TECHNOLOGY, INC. reassignment CISCO TECHNOLOGY, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: NETHI, RAMESH, NANDY, KOUSIK, KHOE, Daniel, VADAPALLI, Ravi Kumar
Priority to US16/379,526 priority Critical patent/US10797956B2/en
Application filed by Cisco Technology Inc filed Critical Cisco Technology Inc
Priority to CN201980075111.XA priority patent/CN113039520B/zh
Priority to EP19835985.3A priority patent/EP3884376A2/de
Priority to PCT/US2019/060101 priority patent/WO2020106453A2/en
Publication of US20200162330A1 publication Critical patent/US20200162330A1/en
Priority to US17/036,468 priority patent/US11153171B2/en
Publication of US10797956B2 publication Critical patent/US10797956B2/en
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Priority to US17/482,403 priority patent/US11799727B2/en
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    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
    • H04L41/082—Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
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    • H04L41/5003—Managing SLA; Interaction between SLA and QoS
    • H04L41/5009—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]

Definitions

  • a campus network can provide connectivity to computing devices (e.g., servers, workstations, desktop computers, laptop computers, tablets, mobile phones, etc.) and things (e.g., desk phones, security cameras, lighting, heating, ventilating, and air-conditioning (HVAC), windows, doors, locks, medical devices, industrial and manufacturing equipment, etc.) within environments such as offices, hospitals, colleges and universities, oil and gas facilities, factories, and similar locations.
  • computing devices e.g., servers, workstations, desktop computers, laptop computers, tablets, mobile phones, etc.
  • things e.g., desk phones, security cameras, lighting, heating, ventilating, and air-conditioning (HVAC), windows, doors, locks, medical devices, industrial and manufacturing equipment, etc.
  • HVAC heating, ventilating, and air-conditioning
  • FIG. 4 illustrates an example of a physical topology for a multi-site enterprise network in accordance with an embodiment
  • the software package repository is configured to receive a request from the new computing resource and in response, to provide the software package to the new computing resource. Thereafter the new computing resource can receive the response from the software package repository and execute the software package, thereby configuring the new computing resource with all necessary software and configurations to join the cluster of computing resources.
  • FIG. 1 illustrates an example of a physical topology of an enterprise network 100 for providing intent-based networking. It should be understood that, for the enterprise network 100 and any network discussed herein, there can be additional or fewer nodes, devices, links, networks, or components in similar or alternative configurations. Example embodiments with different numbers and/or types of endpoints, nodes, cloud components, servers, software components, devices, virtual or physical resources, configurations, topologies, services, appliances, or deployments are also contemplated herein. Further, the enterprise network 100 can include any number or type of resources, which can be accessed and utilized by endpoints or network devices. The illustrations and examples provided herein are for clarity and simplicity.
  • the WLC(s) 108 can support fabric-enabled access points attached to the network fabric 120 , handling traditional tasks associated with a WLC as well as interactions with the fabric control plane for wireless endpoint registration and roaming.
  • the network fabric 120 can implement a wireless deployment that moves data-plane termination (e.g., VXLAN) from a centralized location (e.g., with previous overlay Control and Provisioning of Wireless Access Points (CAPWAP) deployments) to an access point/fabric edge node. This can enable distributed forwarding and distributed policy application for wireless traffic while retaining the benefits of centralized provisioning and administration.
  • one or more Cisco® Wireless Controllers, Cisco® Wireless LAN, and/or other Cisco DNATM-ready wireless controllers can operate as the WLC(s) 108 .
  • the fabric border nodes 122 can connect the network fabric 120 to traditional Layer 3 networks (e.g., non-fabric networks) or to different fabric sites.
  • the fabric border nodes 122 can also translate context (e.g., user, device, or thing mapping and identity) from one fabric site to another fabric site or to a traditional network. When the encapsulation is the same across different fabric sites, the translation of fabric context is generally mapped 1:1.
  • the fabric border nodes 122 can also exchange reachability and policy information with fabric control plane nodes of different fabric sites.
  • the fabric border nodes 122 also provide border functions for internal networks and external networks. Internal borders can advertise a defined set of known subnets, such as those leading to a group of branch sites or to a data center. External borders, on the other hand, can advertise unknown destinations (e.g., to the Internet similar in operation to the function of a default route).
  • the endpoints 130 can also include Internet of Things (IoT) devices or equipment, such as agricultural equipment (e.g., livestock tracking and management systems, watering devices, unmanned aerial vehicles (UAVs), etc.); connected cars and other vehicles; smart home sensors and devices (e.g., alarm systems, security cameras, lighting, appliances, media players, HVAC equipment, utility meters, windows, automatic doors, door bells, locks, etc.); office equipment (e.g., desktop phones, copiers, fax machines, etc.); healthcare devices (e.g., pacemakers, biometric sensors, medical equipment, etc.); industrial equipment (e.g., robots, factory machinery, construction equipment, industrial sensors, etc.); retail equipment (e.g., vending machines, point of sale (POS) devices, Radio Frequency Identification (RFID) tags, etc.); smart city devices (e.g., street lamps, parking meters, waste management sensors, etc.); transportation and logistical equipment (e.g., turnstiles, rental car trackers, navigational devices, inventory monitors, etc.);
  • control plane integration can be achieved with the WLC(s) 108 notifying the fabric control plane node(s) 110 of joins, roams, and disconnects by the wireless endpoints 130 such that the fabric control plane node(s) can have connectivity information about both wired and wireless endpoints in the network fabric 120 , and can serve as the single source of truth for endpoints connected to the network fabric.
  • the WLC(s) 108 can instruct the fabric wireless access points 128 to form a VXLAN overlay tunnel to their adjacent fabric edge nodes 126 .
  • the AP VXLAN tunnel can carry segmentation and policy information to and from the fabric edge nodes 126 , allowing connectivity and functionality identical or similar to that of a wired endpoint.
  • the graphical user interface 300 E can also include an overall health summary user interface element (e.g., a view, pane, tile, card, container, widget, dashlet, etc.) that includes a client health summary user interface element 384 indicating the number of healthy clients as a percentage, a color-coded trend chart 386 indicating that percentage over a specific time period (e.g., as selected by the time period selection user interface element 354 ), a user interface element 388 breaking down the number of healthy clients as a percentage by client type (e.g., wireless, wired), a network infrastructure health summary user interface element 390 indicating the number of health network infrastructure devices as a percentage, a color-coded trend chart 392 indicating that percentage over a specific time period, and a user interface element 394 breaking down the number of network infrastructure devices as a percentage by network infrastructure device type (e.g., core switch, access switch, distribution switch, etc.).
  • an overall health summary user interface element e.g., a view, pane, tile,
  • the graphical user interface 300 G can also include a number of other client health metric charts in all sites or a selected site over a specific time period, such as:
  • FIG. 3H illustrates a graphical user interface 300 H, an example of a screen for an overview of the health of applications, which may be navigated to, for instance, by the toggling the health overview tool 344 .
  • the graphical user interface 300 H can include application health summary user interface element including a percentage 3038 of the number of healthy applications as a percentage, a health score 3040 for each application or type of application (e.g., business relevant, business irrelevant, default; HTTP, VoIP, chat, email, bulk transfer, multimedia/streaming, etc.) running in the network, a top number N of applications by usage chart 3042 .
  • the health score 3040 can be calculated based on an application's qualitative metrics, such as packet loss, network latency, and so forth.
  • a VN is a logical network instance within the network fabric 120 defined by a Layer 3 routing domain and can provide both Layer 2 and Layer 3 services (using the VXLAN VNI to provide both Layer 2 and Layer 3 segmentation).
  • Micro-segmentation logically separates user or device groups within a VN, by enforcing source to destination access control permissions, such as by using access control lists (ACLs).
  • a scalable group is a logical object identifier assigned to a group of users, devices, or things in the network fabric 120 . It can be used as source and destination classifiers in Scalable Group ACLs (SGACLs).
  • the SGT can be used to provide address-agnostic group-based policies.
  • the local control plane in a fabric site may only hold state relevant to endpoints that are connected to edge nodes within the local fabric site.
  • the local control plane can register local endpoints via local edge nodes, as with a single fabric site (e.g., the network fabric 120 ).
  • An endpoint that isn't explicitly registered with the local control plane may be assumed to be reachable via border nodes connected to the transit network.
  • the local control plane may not hold state for endpoints attached to other fabric sites such that the border nodes do not register information from the transit network. In this manner, the local control plane can be independent of other fabric sites, thus enhancing the overall scalability of the network.
  • the present technology can communicate appropriate software and configuration requirements to an entity attempting to become a new member of a cluster (or to update existing members within the cluster) by transferring a manifest file that contains necessary information regarding appropriate software needed to join the cluster, where to download the software, and appropriate configurations.

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US16/379,526 US10797956B2 (en) 2018-11-20 2019-04-09 Extending center cluster membership to additional compute resources
CN201980075111.XA CN113039520B (zh) 2018-11-20 2019-11-06 将中心集群成员资格扩展到附加计算资源
EP19835985.3A EP3884376A2 (de) 2018-11-20 2019-11-06 Erweiterung der mitgliedschaft eines zentralen clusters zu zusätzlichen rechenressourcen
PCT/US2019/060101 WO2020106453A2 (en) 2018-11-20 2019-11-06 Extending center cluster membership to additional compute resources
US17/036,468 US11153171B2 (en) 2018-11-20 2020-09-29 Extending center cluster membership to additional compute resources
US17/482,403 US11799727B2 (en) 2018-11-20 2021-09-22 Extending center cluster membership to additional compute resources

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